Researchers: Is the Cost of Improving Deep Learning Sustainable?
At IEEE: System designers may have to go back to relying on experts again to tell them what matters, rather than on massive databasesDeep Learning is an approach to computer programming that attempts to mimic the human brain (artificial neural networks) so as to enable systems to cluster data and make accurate predictions (IBM). It’s the dominant AI system today, used to predict how proteins fold and analyse medical scans as well as to beat humans at Go. And yet, four Deep Learning researchers recently wrote in IEEE Spectrum that “The cost of improvement is becoming unsustainable.” As part of their special report, “The Great AI Reckoning,”they explain: While deep learning’s rise may have been meteoric, its future may be bumpy. Like Rosenblatt before them, today’s deep-learning researchers are nearing the frontier of what their tools can achieve. To understand why this will Read More ›
